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Bi-Objective Routing for Robotic Irrigation and Sampling in Vineyards

机译:葡萄园中机器人灌溉和抽样的双目标路由

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Motivated by the use of robots in implementing new systems for precision irrigation, in this paper we consider a routing problem where the robot is tasked with collecting two unrelated rewards at once. While operating under a budget constraint limiting the number of locations it can visit, the robot needs to decide which locations to visit, to adjust water emitters and collect soil moisture samples to improve the inference model used to estimate soil water content. This problem can be cast as an instance of multi-objective orienteering, a computationally hard problem scarcely studied in the past. Building upon the heuristic solutions we recently developed for the single objective orienteering Problem, in this paper we develop and compare various solutions for the case involving two distinct but concurrent objective functions. The goal is to develop algorithms that are both efficient and easy to tune for a non-expert human user. Extensive simulations informed by our field experience show the effectiveness of the proposed solutions.
机译:通过使用机器人在实现新系统中实现精密灌溉的新系统,在本文中,我们考虑了一个路由问题,机器人任务一次收集两个无关奖励。在按预算限制下运行限制它可以访问的地点数量,机器人需要决定访问哪些位置,调整水发射器并收集土壤水分样品以改善用于估计土壤含水量的推理模型。这个问题可以作为多目标导向的一个例子,过去几乎研究了一个艰难的问题。在本文中,我们最近开发了我们最近为单身客观定向问题开发的启发式解决方案,我们开发并比较了涉及两个独特但并发目标功能的情况的各种解决方案。目标是开发算法,这些算法对于非专家的人类用户来说是有效且容易的算法。我们的实地经验的广泛模拟显示了所提出的解决方案的有效性。

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